Triple
T5248975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E4 |
E118533
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Haparanda
Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
|
E506229
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haparanda | Statement: [European route E4, passesThrough, Haparanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haparanda Context triple: [European route E4, passesThrough, Haparanda]
-
A.
Gällivare
Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
-
B.
Kiruna
Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
-
C.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
D.
Ylivieska
Ylivieska is a small town in Northern Ostrobothnia, Finland, known as a regional commercial and service center along the Kalajoki River.
-
E.
Luleå
Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haparanda Triple: [European route E4, passesThrough, Haparanda]
Generated description
Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haparanda Target entity description: Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
-
A.
Gällivare
Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
-
B.
Kiruna
Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
-
C.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
D.
Ylivieska
Ylivieska is a small town in Northern Ostrobothnia, Finland, known as a regional commercial and service center along the Kalajoki River.
-
E.
Luleå
Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe68e1148190b2e3cc1f9e49dbbf |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff1e44388190a449cf364f750b8b |
completed | March 21, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beffb133208190a705629dfe6d3bbb |
completed | March 21, 2026, 8:29 p.m. |
Created at: March 20, 2026, 1:50 p.m.